World Covid 19 Cases on April 2, 2020

(Andersen 2018)

(Moreno, M. and Basille, M. 2018)

(pkgdown 2020)

Map of Confirmed Covid19 Cases in the United States

Another Map of Confirmed Covid 19 Cases in the United States

Confirmed Cases in the US Heatmap

Number of US Covid 19 Cases by County

Covid 19 Cases by Massachusetts County

Interactive Map of Covid 19 Cases in MA

Exercises

1. For the above graph “World COVID-19 Confirmed case” summarize the counts for each Country on the graph and update the graph to 9/26/2020. You may need to adjust the size of the points.

## # A tibble: 186 x 5
##    Country_Region      Confirmed Deaths   Long   Lat
##    <chr>                   <dbl>  <dbl>  <dbl> <dbl>
##  1 Afghanistan             39192   1453  67.7   33.9
##  2 Albania                 13153    375  20.2   41.2
##  3 Algeria                 50914   1711   1.66  28.0
##  4 Andorra                  1836     53   1.52  42.5
##  5 Angola                   4672    171  17.9  -11.2
##  6 Antigua and Barbuda        98      3 -61.8   17.1
##  7 Argentina              702484  15543 -63.6  -38.4
##  8 Armenia                 49072    948  45.0   40.1
##  9 Australia               27040    872 146.   -34.4
## 10 Austria                 42214    787  14.6   47.5
## # … with 176 more rows

2. Update Anisa Dhana’s graph layout of the US to 9/26/2020. You may need to adjust the size of the points.

3. Update the above graph “Number of Confirmed Cases by US County” to 9/26/2020 and use a different color scheme or theme

4. Make an interactive plot using a state of your chosing using a theme different from used in the above exammples.

REFERENCES

Application written in R (R Core Team 2015) (Chang et al. 2015).

Andersen, Eric. 2018. “Package : ’Maps’.” Web Page. https://cran.r-project.org/web/packages/maps/maps.pdf.

Chang, W., J. Cheng, JJ. Allaire, Y. Xie, and J. McPherson. 2015. “Shiny: Web Application Framework for R. R Package Version 0.12.1.” Computer Program. http://CRAN.R-project.org/package=shiny.

Moreno, M. and Basille, M. 2018. “Drawing Beautiful Maps Programmatically with R, Sf and Ggplot2 — Part 1: Basics.” Web Page. https://www.r-spatial.org/r/2018/10/25/ggplot2-sf.html.

pkgdown. 2020. “Polygons from a Reference Map.” Web Page. https://ggplot2.tidyverse.org/reference/geom_map.html.

R Core Team. 2015. “R: A Language and Environment for Statistical Computing.” Journal Article. http://www.R-project.org.